<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Llamaindex on Tyler Wells</title><link>https://www.tylerwells.dev/tags/llamaindex/</link><description>Recent content in Llamaindex on Tyler Wells</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 12 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.tylerwells.dev/tags/llamaindex/index.xml" rel="self" type="application/rss+xml"/><item><title>Building AI Search for a Retail Website: The Stack and Why</title><link>https://www.tylerwells.dev/posts/ozark-ridge-post-1-stack/</link><pubDate>Sun, 12 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.tylerwells.dev/posts/ozark-ridge-post-1-stack/</guid><description>[Retail AI Series 1/4] Building a mock outdoor retail site with AI-powered product search and a Rufus-style assistant. This post covers the architecture, stack decisions, the indexing pipeline, and why RAG matters for e-commerce.</description></item></channel></rss>